Exploring Custom Solutions for Data Labeling Challenges

What’s the most practical of practical AI things? Data labeling of course! It’s also one of the most time consuming and error prone processes that we deal with in AI development. Michael Malyuk of Heartex and Label Studio joins us to discuss various data labeling challenges and open source tooling to help us overcome those challenges.

Join the discussion

Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!

Sponsors:

• DigitalOcean Managed Kubernetes – DigitalOcean makes it super simple to launch a Kubernetes cluster in minutes. Developers can now run and scale container-based workloads with ease on the DigitalOcean platform. Learn more and get started for free with a $50 credit at do.co/changelog
• KubeCon + CloudNativeCon (Amsterdam 2020) – Get an additional 10% off EARLYBIRD registration pricing with the code KCEUGOTIME — ends November 8th! Learn more and register.
• AI Demystified (FREE five-day mini-course) – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free.

Featuring:

• Michael Malyuk – LinkedIn, X
• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

• Heartex
• Label Studio

Books

• “Paradigms of Artificial Intelligence Programming” by Peter Norvig

Something missing or broken? PRs welcome!